Studies on lamb survivability in Deccani sheep
Abstract
The present investigation entitled “Studies on Lamb Survivability in Deccani Sheep” was conducted under the Network Project on Sheep Improvement (Deccani Farm Based Unit), MPKV, Rahuri, Maharashtra. The study was undertaken to assess lamb survivability at different growth stages and to determine the influence of important non-genetic factors on lamb mortality. The study was based on performance records of 2,942 Deccani lambs born during 2011-2022 and reared under a semi-intensive management system. The data were analysed using least squares analysis, Duncan’s Multiple Range Test (DMRT), chi-square test and logistic regression. Overall survivability ranged from 89.70 to 97.23 percent, while cumulative mortality up to one year was 10.94 percent. The highest mortality (5.54 percent) occurred during the first 90 days. Birth weight and period of birth were the major factors influencing lamb mortality, with lambs weighing less than 3 kg showing higher mortality risk. Season significantly influenced mortality during the later stages, whereas sex and dam age had non-significant effects.
Full Text
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Introduction
Sheep production is an important component of Indian agriculture and contributes substantially to the livelihood of rural households through the production of meat, wool and manure. Sheep are well suited to diverse production environments and are particularly valuable under resource-limited and semi-arid farming conditions. Their relatively low input requirements and adaptability make sheep an important livestock enterprise for small and marginal farmers. Deccani is an important indigenous sheep breed of the Deccan plateau and is well adapted to the harsh climatic conditions and limited feed resources of the region. The breed is predominantly reared for mutton production and is an important source of livelihood for rural farmers in Maharashtra and adjoining regions. Under such production systems, efficient lamb survival is essential for maintaining flock size, replacement stock and overall productivity. Lamb mortality is one of the major constraints affecting the biological and economic efficiency of sheep production. Early life is particularly critical, and mortality during this stage can substantially reduce the number of lambs available for replacement, sale and meat production. High lamb mortality therefore results in economic losses and adversely affects flock productivity. Improving lamb survivability is consequently an important component of profitable and sustainable sheep production (Dwyer et al., 2016) [10] . Lamb mortality is a major welfare and economic concern in sheep production worldwide. Mortality rates ranging from 10 to 40 percent have been reported under different production systems, resulting in substantial economic losses (Binns et al., 2002; Osteras et al., 2007) [3,19] . Lamb survivability is influenced by several non-genetic factors, including period and season of birth, sex of lamb, birth weight and age of dam. These factors can affect survival by altering environmental conditions, nutritional availability, maternal care and the ability of lambs to withstand environmental and health-related stresses. Among these factors, birth weight is an important indicator of early-life survival, with lambs having low birth weight generally being more vulnerable to mortality. The magnitude and direction of these effects may vary according to breed, management system and environmental conditions ( [6,14,7] .
Although lamb mortality has been investigated in several sheep breeds, information on lamb survivability and the influence of important non-genetic factors in Deccani sheep under organized farm conditions in Maharashtra remains limited. A systematic assessment of survival at different growth stages and identification of factors associated with mortality can provide useful information for improving lamb management and reducing avoidable losses. Therefore, the present study was undertaken to assess lamb survivability at different growth stages and to determine the influence of important non-genetic factors on lamb mortality in Deccani sheep.
Materials and Methods
Study location and data source
The present investigation was conducted using performance records generated at the Network Project on Sheep Improvement (Deccani Farm Based Unit), Department of Animal Husbandry and Dairy Science, Mahatma Phule Krishi Vidyapeeth (MPKV), Rahuri, Maharashtra, India. The project is located in the scarcity zone of Maharashtra at an elevation ranging from 495 to 589 m above mean sea level. A total of 2,942 Deccani lamb records pertaining to lambs born during 2011-2022 were considered for analysis.
Management practices
The Deccani sheep flock was maintained under a semiintensive management system, with animals allowed to graze for approximately 5-6 h daily and supplemented with dry and green fodder and concentrate feed according to their requirements. Pregnant and lactating ewes received additional concentrate supplementation, while lambs were provided supplementary feeding and appropriate care according to their age and requirements and were generally weaned at approximately 90 days of age. Routine veterinary care and preventive health management practices were followed at the farm.
Traits studied
Lamb survivability was studied at different age intervals, viz., 0-3, 3-6, 0-6, 6-12 and 0-12 months of age.
Assessment of lamb survivability
Lamb survivability was assessed at five growth-stage intervals: 0-3 months (SR1), 3-6 months (SR2), 0-6 months (SR3), 6-12 months (SR4) and 0-12 months (SR5). Survival rate at each age interval was determined from the performance records of the lambs. The data were further used to assess the influence of important non-genetic factors on lamb survivability and mortality at different growth stages.
Non-genetic factors
The non-genetic factors considered in the analysis were period of birth, season of birth, birth weight, sex of lamb and age of dam at lambing. Period of birth was classified into four periods: 2011-2013 (P1), 2014-2016 (P2), 2017-2019 (P3) and 2020-2022 (P4). Season of birth was classified as main season (October-March) and off-season (April-September). Birth weight was classified into three groups: < 3 kg, 3-3.4 kg and ≥ 3.4 kg. Sex was classified as male and female, while age of dam at lambing was grouped as < 3 years, 3-5 years and ≥ 5 years.
Statistical analysis
Least squares analysis was used to evaluate the effects of period of birth, season of birth, birth weight, sex of lamb and age of dam at lambing on lamb survivability at different growth stages. The least squares method described by Harvey (1990) [23] was employed to account for unequal and disproportionate subclass frequencies in the data. Least squares means were estimated for different levels of the non-genetic factors.
The statistical model used was
where, Y ijklmn is the survival rate at the respective age interval; μ is the overall mean; A i is the effect of the i th period of birth; B j is the effect of the j th season of birth; C k is the effect of the k th birth-weight group; D l is the effect of the l th sex; E m is the effect of the m th age of dam at lambing; and e ijklmn is the random error attributed to the n th lamb. When a factor showed a significant effect (p < 0.05), the corresponding least squares means were compared using Duncan's Multiple Range Test (DMRT) as modified by Kramer (1957) [24] .
Where, Ȳ𝑖 -Ȳ𝑗 represents the difference between two least squares means; 𝐶𝑖𝑖 and 𝐶𝑗𝑗 are the corresponding i th and j th diagonal elements of the C matrix, respectively; 𝐶𝑖𝑗 is the (i, j) th element of the C matrix; 𝜎 2 𝑒 is the root mean square error; Z(P,n e ) is the standardized range value from Duncan's table at the chosen probability level and error degrees of freedom; P is the number of means involved in the comparison; and n e is the error degrees of freedom.
The chi-square (χ²) test was used to assess the association between non-genetic factors and lamb mortality at different growth stages.
Where, 𝑥 2 is the calculated Chi-square value; O represents the observed frequency; E represents the corresponding expected frequency; and ∑ denotes summation over all categories.
Logistic regression analysis was used to identify the factors influencing the probability of lamb mortality. Lamb survival status was coded as alive = 0 and dead = 1. The results were expressed as odds ratios [Exp(β)] with 95 percent confidence intervals.
Lamb Survivability from Birth to 3 Months (SR1)
The overall survivability from birth to three months was 94.89±0.48 percent. Birth weight significantly influenced survivability (p < 0.05), with lambs weighing < 3 kg showing lower survivability (92.59±0.75%) compared with those weighing 3-3.4 kg (95.42±0.71%) and ≥ 3.4 kg (96.66±0.88%). Similar associations between birth weight and lamb survivability have been reported by Bangar et al. (2016) [6] . Period of birth, season, sex and dam age had no significant effect on survivability during SR1 (p > 0.05).
Lamb Survivability from 3 to 6 Months (SR2)
The overall survivability during SR2 was 96.74±0.37 percent. Period of birth, season, sex and birth weight significantly influenced survivability (p < 0.05). Lambs born during 2017-19 had the lowest survivability (94.99±0.67%) compared with those born during the other birth periods. Similar variation in lamb survivability across birth periods has been reported by Besufkad et al. (2024) [7] . Survivability was higher among lambs born during the main season (97.80±0.40%) than those born during the dry season (95.69±0.61%). Similar seasonal effects on lamb survivability have been reported by Belay and Haile (2011) [4] . Female lambs exhibited higher survivability (97.43±0.51%) than male lambs (96.06±0.48%). Similar differences in lamb survivability between sexes have been reported by Mandal et al. (2007) [16] . Birth weight significantly influenced survivability (p < 0.05), with lambs weighing < 3 kg showing lower survivability (95.41±0.59%) compared with those weighing 3-3.4 kg (97.19±0.55%) and ≥ 3.4 kg (97.63±0.67%). Similar associations between birth weight and lamb survivability have been reported by Gaur et al. (2022) [14] . Dam age had no significant effect on survivability during SR2 (p > 0.05).
Lamb Survivability from Birth to 6 Months (SR3)
The overall survivability during SR3 was 91.90±0.57 percent. Period of birth and birth weight significantly influenced survivability (p < 0.05). Lambs born during 2017-19 showed the lowest survivability (88.87±1.03%), compared with those born during the other birth periods. Similar variation in lamb survivability across birth periods has been reported by Besufkad et al. (2024) [7] . Birth weight significantly influenced survivability (p < 0.05), with lambs weighing < 3 kg showing lower survivability (88.45±0.90%) compared with those weighing 3-3.4 kg (92.85±0.85%) and ≥ 3.4 kg (94.41±1.05%). Similar associations between birth weight and lamb survivability have been reported by Gaur et al. (2022) [14] . Season, sex and dam age had no significant effect on survivability during SR3 (p > 0.05).
Lamb Survivability from 6 to 12 Months (SR4)
The overall survivability during SR4 was 97.23±0.42 percent. Season of birth significantly influenced survivability (p < 0.05), with lambs born during the dry season showing higher survivability (98.38±0.70%) compared with those born during the main season (96.08±0.45%). The influence of seasonal conditions on lamb survival has also been reported by Belay and Haile (2011) [4] . Period of birth, sex, birth weight and dam age had no significant effect on survivability during SR4 (p > 0.05).
Lamb Survivability from Birth to 12 Months (SR5)
The overall survivability during SR5 was 89.70±0.65 percent. Period of birth and birth weight significantly influenced survivability (p < 0.05). Lambs born during 2020-22 had the highest survivability (93.41±1.32%), whereas those born during 2017-19 had the lowest survivability (86.44±1.17%). Similar variation in lamb survivability across birth periods has been reported by Besufkad et al. (2024) [7] . Birth weight significantly influenced survivability (p < 0.05), with lambs weighing < 3 kg showing lower survivability (85.93±1.02%) compared with those weighing 3-3.4 kg (91.08±0.97%) and ≥ 3.4 kg (92.10±1.19%). Similar associations between birth weight and lamb survivability have been reported by Bangar et al. (2016) [6] . Season, sex and dam age had no significant effect on survivability during SR5 (p > 0.05).
Mortality Distribution by Life Stages
The study examined lamb mortality in Deccani sheep across different life stages: 0-90 days, 90-180 days, 180-365 days, 0-180 days and 0-365 days. [16,9] .
Overall pre-weaning mortality was 5.54% among 2,942 Deccani lambs. Period of birth significantly affected mortality (p < 0.05), with mortality ranging from 3.87% during 2011-13 to 7.03% during 2017-19. Similar variation in lamb mortality across birth periods has been reported by Besufkad et al. (2024) [7] . Birth weight also significantly affected mortality (p < 0.01), with the highest mortality observed among lambs weighing < 3 kg (8.57%), followed by those weighing 3-3.4 kg (4.95%) and ≥ 3.4 kg (3.73%). Similar associations between birth weight and lamb mortality have been reported by (Dwyer, 2008; Morel et al., 2008) [9,17] . Season, sex and dam age had no significant effect on mortality during the pre-weaning period.
Overall mortality during 90-180 days was 2.97% among 2,696 lambs, lower than that observed during 0-90 days. Period of birth significantly affected mortality (p < 0.05), with the highest mortality observed during 2017-19 (4.62%). Similar variation in lamb mortality across birth periods has been reported by Besufkad et al. (2024) [7] . Season also significantly affected mortality (p < 0.05), with the highest mortality observed during the dry season (4.34%). Similar seasonal variation in lamb mortality has been reported by Belay and Haile (2011) [4] . Birth weight significantly affected mortality (p < 0.05), with the highest mortality observed among lambs weighing < 3 kg (4.49%) and the lowest among those weighing ≥ 3.4 kg (2.12%). Similar associations between birth weight and lamb mortality have been reported by Turkson and Sualisu (2005) [21] . Sex and dam age had no significant effect on mortality during this period.
Overall mortality from birth to six months (0-180 days) was 8.26% among 2,942 lambs. Period of birth significantly affected mortality (p < 0.05), with the highest mortality recorded during 2017-19 (11.22%). Similar variation in lamb mortality across birth periods has been reported by (Abegaz et al; 2005) [1] . Birth weight also significantly affected mortality (p < 0.05), with the highest mortality observed among lambs weighing < 3 kg (13.30%) and the lowest among those weighing ≥ 3.4 kg (5.84%). Similar associations between birth weight and lamb mortality have been reported by Swarnkar and Sonawane (2024) [20] . Season, sex and dam age did not significantly influence mortality during this period. Thus, period of birth and birth weight were the major factors associated with lamb mortality during the first six months of life.
Overall mortality during 180-365 days was 3.35% among 2,328 lambs. Season had a highly significant effect (p < 0.01), with higher mortality during the main season (4.00%) than the dry season (1.77%). Similar seasonal variation in lamb mortality has been reported by (Ceyhan and Kozakli, 2023) [8] . In contrast, period of birth, sex, birth weight and dam age did not significantly affect mortality during this stage. Thus, mortality during 180-365 days appeared to be influenced predominantly by seasonal factors.
Overall mortality during the first year of life (0-365 days) was 10.94% among 2,942 Deccani lambs. Period of birth had a highly significant effect on mortality (p < 0.01), with mortality ranging from 6.94% during 2020-22 to 14.18% during 2017-19. Similar variation in lamb mortality across birth periods has been reported by Besufkad et al. (2024) [7] . Birth weight also had a highly significant effect on mortality (p < 0.01), with the highest mortality observed among lambs weighing < 3 kg (17.27 percent), compared with mortality rates of 9.98 percent and 9.41 percent in the 3-3.4 kg and ≥ 3.4 kg groups, respectively. Similar associations between birth weight and lamb mortality have been reported by Gaur et al. (2022) [14] and Besufkad et al. (2024) [7] . In contrast, season, sex and dam age did not significantly affect mortality. Thus, period of birth and birth weight were the major factors associated with lamb mortality during the first year of life.
Chi-square Analysis
The results of the Chi-square analysis of different factors associated with lamb mortality at various life stages in Deccani sheep are presented in Table 8. Chi-square analysis revealed that period of birth was significantly associated with lamb mortality during 0-3 months (χ² = 10.30; P = 0.02), 3-6 months (χ² = 11.74; P = 0.01), 0-6 months (χ² = 19.76; p < 0.001) and 0-12 months (χ² = 21.35; p < 0.001), but not during 6-12 months (P = 0.151). Similar variation in lamb mortality across birth periods has been reported by Besufkad et al. (2024) [7] . Season of birth showed significant associations during 3-6 months (χ² = 7.55; P = 0.01) and 6-12 months (χ² = 7.42; P = 0.01), but not during the other stages. Similar seasonal effects on lamb survival have been reported by Kenyon et al. (2014) [18] . Birth weight was significantly associated with mortality during 0-3 months (χ² = 18.08; p < 0.001), 3-6 months (χ² = 8.87; P = 0.01), 0-6 months (χ² = 26.93; p < 0.001) and 0-12 months (χ² = 23.66; p < 0.001), but not during 6-12 months (P = 0.37). Similar associations between birth weight and lamb mortality have been reported by Morel et al. (2008) [17] . In contrast, sex and dam age showed no significant association with mortality at any stage. Overall, period of birth and birth weight were the major factors associated with lamb mortality, particularly during the first six months, while seasonal effects were evident during later stages.
Logistic Regression
Logistic Regression Analysis of Lamb Mortality (0-3 Months)
Logistic regression analysis showed that period of birth and birth weight significantly influenced lamb mortality during 0-3 months. Lambs born during 2017-19 had 1.71 times the odds of mortality compared with those born during 2020-22 (OR = 1.71; 95% CI = 1.05-2.77; P = 0.03), while 2011-13 and 2014-16 did not differ significantly. Similar variation in lamb mortality across birth periods has been reported by Gaur et al. (2022) [14] . Lambs weighing < 3 kg had 2.19 times the odds of mortality compared with those weighing ≥ 3.4 kg (OR = 2.19; 95% CI = 1.40-3.44; p < 0.01), whereas the 3-3.4 kg group did not differ significantly. Similar associations between birth weight and lamb mortality have been reported by Mellor and Stafford (2004). Season, sex and dam age had no significant effect on mortality (p > 0.05). [5] and Gowane et al. (2018) [12] . Lambs born in the main season had lower odds of mortality than those born in the dry season (OR = 0.51; 95% CI = 0.32-0.80; p < 0.001).
Similar seasonal effects on lamb mortality have been reported by Gowane et al. (2020) [13] . Male lambs had 1.63 times the odds of mortality compared with females (OR = 1.63; 95% CI = 1.02-2.60; P = 0.04). Similar effects of sex on lamb mortality have been reported by Gaur et al. (2022) [14] . Lambs weighing < 3 kg had 2.09 times the odds of mortality compared with those weighing ≥ 3.4 kg (OR = 2.09; 95% CI = 1.12-3.89; p < 0.05). Similar associations between birth weight and lamb mortality have been reported by and Morel et al. (2008) [17] and Abdelqader et al. (2017) [2] . Dam age had no significant effect on mortality. [5] and Gowane et al. (2018) [12] . Lambs weighing < 3 kg had 2.19 times the odds of mortality compared with those weighing ≥ 3.4 kg (OR = 2.19; 95% CI = 1.51-3.18; p < 0.001), whereas the 3-3.4 kg group did not differ significantly. Similar associations between birth weight and lamb mortality have been reported by Morel et al., (2008) [17] and Abdelqader et al. (2017) [2] . Season, sex and dam age had no significant effect. [14] and Besufkad et al. (2024) [7] . Lambs born during the main season had 2.36 times the odds of mortality compared with those born during the dry season (95% CI = 1.26-4.41; P = 0.01). Similar seasonal effects on lamb mortality have been reported by Turkson and Sualisu (2005) [21] and Tibbo et al. (2010) [22] . Sex, birth weight and dam age had no significant effect on mortality. [12] . Lambs weighing < 3 kg had 1.85 times the odds of mortality compared with those weighing ≥ 3.4 kg (OR = 1.85; 95% CI = 1.35-2.53; p < 0.001), whereas the 3-3.4 kg group did not differ significantly. Similar associations between birth weight and lamb mortality have been reported by Abdelqader et al. (2017) [2] . Season, sex and dam age had no significant effect on mortality.
Conclusion
The present study demonstrated that period of birth and birth weight were the major factors influencing lamb survivability in Deccani sheep. Overall survivability ranged from 89.70±0.65 percent from birth to 12 months to 97.23±0.42 percent during 6-12 months, while the highest mortality was observed during the 0-90-days period (5.54%). Lambs weighing < 3 kg at birth consistently exhibited lower survivability and higher mortality, while lambs born during 2017-19 generally showed poorer survival than those born during the other periods. Season and sex had stage-specific effects, whereas dam age showed no significant influence. These findings emphasize the importance of improving maternal nutrition and providing
Acknowledgement
International Journal of Advanced Biochemistry Research https://www.biochemjournal.com targeted management to low-birth-weight lambs to reduce mortality and enhance lamb survivability in Deccani sheep.
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